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Measuring alcohol consumption at different time points is essential in order to minimize dependent biases from patient-reported exposure and outcome measures.
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To minimize time-dependent biases, the PEEP sequence was applied five times in a row.
LOWESS was used to minimize effect of intensity dependent bias, with default settings.
There are survey techniques that can minimize those biases".
Simple correction factors are proposed to minimize these biases.
Thus, while previous studies have primarily focused on assessing seasonal variations in alcohol use per se, the present study also examined whether the anticipated seasonal variations in alcohol use may affect reporting on measures assumed to minimize or eliminate time-dependent bias, such as QF or GF measures [ 4, 12, 15- 17].
Hence, the scaled lowess fitness (LOcally- WEighted Regr ession) normalization algorithm was applied to minimize signal-dependent non-linear bias between the two intensity levels.
Given the small number of multiple births, the dependent nature of pregnancy outcomes and to minimize recall bias, we restricted the study sample to the most recent singleton births (n = 2,716; 70%).
Multivariable Cox proportional hazards regression models were used to assess the hazard of reaching EDSS 6 and 4, with IFN β exposure as a time-dependent predictor (to minimize immortal time bias) [ 30].
However, to minimize biases, customized assessment frameworks could be developed.
However, the sampling of households was random to minimize biases in the selection of households.
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